Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries.
We're a small, lean, London based team that moves fast and takes the work seriously.
Everyone contributes directly.
Initiative is rewarded, and ownership is the default.
If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you.
About the RoleAs a Member of Technical Staff on our Software Engineering team, you will build the platform that powers how Aptura operates and scales — the annotation tooling, workflow systems, quality control pipelines, and internal infrastructure that sit behind every dataset and environment we ship.
Day to day, that looks like: designing expert task creation flows, building task assignment and review interfaces, writing the data pipelines that move outputs from domain experts into structured training sets, and integrating LLM-powered tooling directly into the product.
Some days it's product engineering.
Some days it's closer to infrastructure.
The common thread is that the software you build is what lets a small team produce high-quality evaluation data at scale.
You'll be the person who makes the platform real.
Decide what gets built, how it gets built, and set the standard for how we build as we grow.
What You'll DoBuild and own the core data annotation and workflow platform end to end — from task assignment and expert interfaces to quality control and dataset deliveryDesign systems that support expert onboarding, task routing, review workflows, and QA at scaleBuild and improve AI-integrated pipelines across the platform, including LLM-assisted annotation, automated checking, and model-in-the-loop workflowsWork directly with founders and domain opera.